Breast cancer-related lymphedema (BCRL) is a negative sequela of breast cancer (BC) caused by trauma to the lymphatic system during surgery or radiation to the axillary lymph nodes. BCRL affects approximately one in five patients treated for BC, and patients are at a lifelong risk for BCRL after treatment. Early diagnosis of BCRL may prevent its progression and reduce negative effects on quality of life, necessitating comprehensive prospective screening. This paper provides an overview of technology that may be used as part of a BCRL screening program, including objective measures such as perometry, bioimpedance spectroscopy, tissue tonometry, and three-dimensional optical imaging. Furthermore, this paper comprehensively reviews the technology incorporated into the established prospective screening program at Massachusetts General Hospital. Our prospective screening program consists of longitudinal measurements via perometry, symptoms assessment, and clinical examination by a certified lymphedema therapist (CLT) as needed. Discussion about use of perometry within the screening program and incorporation of arm volume measurements into equations to determine change over time and accurate diagnosis is included [relative volume change (RVC) and weight-adjusted change (WAC) equations]. Use of technology throughout the program is discussed, including a HIPPA-compliant online research database, the patient's electronic medical record, and incorporation of BCRL-related symptoms [BC and lymphedema symptom experience index (BCLE-SEI) survey]. Ultimately, both subjective and objective data are used to inform BCRL diagnosis and treatment by the CLT. In conclusion, the role of technology in facilitating BCRL screening is indispensable, and the continued development of objective assessment methods that are not only reliable and valid, but also cost-effective and portable will help establish BCRL screening as the standard of care for patients treated for BC.Evidence suggests that mobile phone health (mHealth) programs may improve healthy behaviours and clinical outcomes in patients with type 2 diabetes mellitus (T2DM). However, data on mHealth dietary behaviour is scarce in low-and-middle-income countries. This study aims to determine the effectiveness of a text messaging program on dietary habits in patients with T2DM.
We performed a post-hoc analysis of a randomised controlled trial of text messaging intervention in 236 patients with T2DM recruited from a tertiary hospital. Data were collected on socio-demographics, mobile phone use, family and medical history, self-reported diseases, medication use, health-seeking behaviour, diet and physical activity. Dietary behaviour was assessed using a modified version of WHO STEPS and the Indian Migration Study Food Frequency Questionnaire. Intervention participants received one message/day over six months focusing on lifestyle modification. Dietary intake of fruits, vegetables, sugar beverages and teaspoons of sugae the effectiveness of text messaging on dietary behaviour in adults with T2DM.
German Clinical Trials Register DRKS00005188, http//www.drks.de.
German Clinical Trials Register DRKS00005188, http//www.drks.de.WhatsApp, like many other messaging Apps, enables messages, documents, and multimedia elements to be exchanged through a chat-based tool. Among the many potentialities of WhatsApp are (I) the possibility to create groups (WhatsApp Groups) and (II) the possibility to install the app on a personal computer using the WhatsApp Web application.
The two functionalities (I, II) were used to set-up an environment for teleconsultation in telecardiology which will support the exchange of the dynamic images in hemodynamics. A proper client/server architecture was proposed to supply the environment. The files related to the dynamic study were preliminarily converted [using picture archiving and communication system (PACS) functions] into an audio-video interleave (AVI) format, which is compatible with mobile technology.
The environment was configured. Five dynamic images were extracted from the PACS in the format AVI. The images were exchanged using WhatsApp Web on the server side and WhatsApp on the client side (smartphones). An acceptance analysis of five observers showed high satisfaction with the methodology.
From a global perspective, our contribution aligns with those of scholars in the field concerning the use of WhatsApp in medical imaging. https://www.selleckchem.com/ Furthermore, this study suggests that research in the telecardiology field can be strengthened through the use of dynamic images and WhatsApp.
From a global perspective, our contribution aligns with those of scholars in the field concerning the use of WhatsApp in medical imaging. Furthermore, this study suggests that research in the telecardiology field can be strengthened through the use of dynamic images and WhatsApp.There is an increasing discussion concerning the integration of artificial intelligence (AI) into medical decision-making. AI science is a branch of engineering that implements novel concepts to resolve complex challenges and defined as the theory and development of computer systems to perform tasks which would normally require human intelligence. AI could aid cardiologists in improving decision-making, workflow, productivity, cost-effectiveness, and ultimately, patient outcomes. The present study proposes a tool for a positioning exercise in cardiology using mobile technology.
This study is based on a dedicated tool with electronic surveys that collect the opinions, requirements, and desires of the interested actors including both laypeople and professionals.
The tool was tested on 30 cardiologists and 30 subjects not involved in health care. The data-analysis revealed several clear trends on the cardiologists (I) a high desire to invest in AI; (II) high confidence in the use of AI in several fields of cardiology from risk prevention to diagnostics in medical imaging; (III) low confidence in the use of AI in quality control procedures; (IV) a strong belief that ethical issues are hampering the diffusion of AI to different fields. The data-analysis on the 30 subjects not involved in health care highlighted that AI is still not well known and therefore looked with suspicious.
The integration of AI with telemedicine and e-health is a key issue for the health care. The study highlights how the mobile technology-based positioning exercises in mHealth can be useful for health care decision makers.
The integration of AI with telemedicine and e-health is a key issue for the health care. The study highlights how the mobile technology-based positioning exercises in mHealth can be useful for health care decision makers.